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Network Science = 7th International Winter Conference, NetSci-X 2022, Porto, Portugal, February 8–11, 2022, Proceedings /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Network Science/ edited by Pedro Ribeiro, Fernando Silva, José Fernando Mendes, Rosário Laureano.
其他題名:
7th International Winter Conference, NetSci-X 2022, Porto, Portugal, February 8–11, 2022, Proceedings /
其他作者:
Ribeiro, Pedro.
面頁冊數:
XII, 185 p. 45 illus., 38 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Computer engineering. -
電子資源:
https://doi.org/10.1007/978-3-030-97240-0
ISBN:
9783030972400
Network Science = 7th International Winter Conference, NetSci-X 2022, Porto, Portugal, February 8–11, 2022, Proceedings /
Network Science
7th International Winter Conference, NetSci-X 2022, Porto, Portugal, February 8–11, 2022, Proceedings /[electronic resource] :edited by Pedro Ribeiro, Fernando Silva, José Fernando Mendes, Rosário Laureano. - 1st ed. 2022. - XII, 185 p. 45 illus., 38 illus. in color.online resource. - Information Systems and Applications, incl. Internet/Web, and HCI ;13197. - Information Systems and Applications, incl. Internet/Web, and HCI ;9149.
Using localized attacks with probabilistic failures to model seismic events over physical-logical interdependent network -- A Historical Perspective On International Treaties Via Hypernetwork Science -- On the Number of Edges of the Frechet Mean and Median Graphs -- Core but not Peripheral Online Social Ties is a Protective Factor against Depression: Evidence from a Nationally Representative Sample of Young Adults -- Deep Topological Embedding with Convolutional Neural Networks for Complex Network Classification -- Modularity-based Backbone Extraction in Weighted Complex Networks -- Vessel destination prediction using a graph-based machine learning model -- Hunting for Dual-target Set on a Class of Hierarchical Networks -- Generalized Linear Models Network Autoregression -- Constructing Provably Robust Scale-free Networks -- Functional characterization of transcriptional regulatory networks of yeast species -- Competitive Information Spreading on Modular Networks -- HyperNetVec: Fast and Scalable Hierarchical Embedding for Hypergraphs.
This book constitutes the refereed proceedings of the 7th International Conference and School of Network Science, NetSci-X 2022, held in Porto, Portugal, in February 2021. The 13 full papers were carefully reviewed and selected from 19 submissions. The papers deal with the study of network models in domains ranging from biology and physics to computer science, from financial markets to cultural integration, and from social media to infectious diseases.
ISBN: 9783030972400
Standard No.: 10.1007/978-3-030-97240-0doiSubjects--Topical Terms:
569006
Computer engineering.
LC Class. No.: TK7885-7895
Dewey Class. No.: 621.39
Network Science = 7th International Winter Conference, NetSci-X 2022, Porto, Portugal, February 8–11, 2022, Proceedings /
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Using localized attacks with probabilistic failures to model seismic events over physical-logical interdependent network -- A Historical Perspective On International Treaties Via Hypernetwork Science -- On the Number of Edges of the Frechet Mean and Median Graphs -- Core but not Peripheral Online Social Ties is a Protective Factor against Depression: Evidence from a Nationally Representative Sample of Young Adults -- Deep Topological Embedding with Convolutional Neural Networks for Complex Network Classification -- Modularity-based Backbone Extraction in Weighted Complex Networks -- Vessel destination prediction using a graph-based machine learning model -- Hunting for Dual-target Set on a Class of Hierarchical Networks -- Generalized Linear Models Network Autoregression -- Constructing Provably Robust Scale-free Networks -- Functional characterization of transcriptional regulatory networks of yeast species -- Competitive Information Spreading on Modular Networks -- HyperNetVec: Fast and Scalable Hierarchical Embedding for Hypergraphs.
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